PhD Position in Human-Centered Artificial Intelligence
The Human-Centered Artificial Intelligence Lab is seeking motivated candidates with a background in Computer Science (or a related discipline) for a fully funded PhD position for 4,5 years. The lab, led by Prof. Dr. Hanna Drimalla, focuses on advancing AI to analyze social signals and improve human-AI interactions by enabling adaptability to these signals. Our interdisciplinary team works with different data modalities - such as facial expressions, gaze, vocal cues, heart rate, and digital communication patterns - using advanced machine learning, audio, and image processing techniques. To collect realistic data and translate our new methods into clinical practice, we collaborate with psychological and medical institutes around the world. Using AI to assess social interaction behavior and psychosocial distress, our work supports clinical diagnosis and enriches behavioral research. Committed to a human-centered approach, we prioritize fairness, practicality, and transparency. Accordingly, another area of our research focuses on explainable AI in the context of human interaction behavior. Our overarching goal is to create AI tools that are both scientifically robust and ethically sound, ensuring that they can be effectively applied in real-world settings.
Research activities (75 %):
- further development of machine learning methods for analyzing interaction behavior
- application or development of computer vision, voice and gaze analysis algorithm in a multimodal approach and in combination with machine learning
- planning, conduction, and evaluation of empirical studies with human participants
- analysis of behavioral data with classical statistical tests
- publication of the results in English journals and conference publications
- reporting and presenting progress and results
Teaching duties (20 %)
- teaching (up to 4 LVS) and supervision of bachelor/master theses or student projects
Other activities (5 %):
- participating in administration and organization of the working group
Employment is conducive to scientific qualification.
- scientific university degree (completed or advanced) in computer science or a computer science-related discipline (e. g. data science, math or cognitive science)
- practical experience and theoretical knowledge in machine learning, complex data mining or statistics
- interest and passion for interdisciplinary research at the intersection of computer science and psychology
- very good programming skills (preferably in Python)
- proficiency in English (oral and written)
- analytical skills and scientific mindset
- independent, self-reliant and dedicated style of work
- prior knowledge in the psychological application fields
- experience with the conceptualization or implementation of psychological experiments
- German skills
- salary depending on personal qualification up to Remuneration level 13 TV-L
- befristet (4,5 years) (§ 2 (1) sentence 1 of the WissZeitVG; in accordance with the provisions of the WissZeitVG and the Agreement on Satisfactory Conditions of Employment, the length of contract may differ in individual cases)
- Vollzeit
- internal and external training opportunities
- variety of health, consulting and prevention services
- reconcilability of family and work
- engaging and diverse research challenges
- strong, personalized supervision
- a collaborative environment with regular mentorship
- access to cutting-edge technology and resources
- opportunities for international collaboration and conference participation
- a vibrant academic setting at the Center of Interaction Technology (CITEC).
We are looking forward to receiving your application. Interested candidates should submit a cover letter describing their motivation, their academic CV, their transcript of records, and contact details for two references. To apply, please preferably use our online form via the application button below.
application deadline: 06.03.2025